🚀

Starship Pipeline

Last time you used Map, Filter, and Reduce one at a time. Today you'll chain them together into a data pipeline — filter your fleet, transform the survivors, then combine them into one answer. That's how real apps process data!

← Code CP19 Creator Path 🚀 Starship Pipeline
🚀
Welcome to Space Command! Your starfleet has 8 ships of different types and power levels. As fleet commander, you'll build a processing pipeline to organize, upgrade, and analyze your forces before deployment.
⚡ Today's Concept

Data Pipelines: Chain Operations Together

In the last lesson, you used each tool separately. Real programmers chain them — the output of one stage feeds into the next, like an assembly line:

🔍 FILTER — remove ships that don't belong
⬇️ survivors flow to next stage
🗺️ MAP — transform every remaining ship
⬇️ transformed ships flow to next stage
➕ REDUCE — combine them into one final answer

🛸 Your Starfleet 8 ships

1
🔍 Filter — Keep only matching ships
Ships after filter
Turn on this stage to filter ships ⬆️
⬇️
2
🗺️ Map — Transform every ship
Ships after map
Turn on this stage to transform ships ⬆️
⬇️
3
➕ Reduce — Combine into one answer
Final answer
Turn on this stage to get a final result ⬆️

🎯 Challenges

0 of 5 challenges 0/5
🏆

Pipeline Complete!

You built a real data pipeline — just like the pros!

What You Learned

A data pipeline chains operations so the output of one feeds into the next.
Filter → Map → Reduce is the most common pipeline pattern in real code.
Each stage transforms the data step by step — like an assembly line.
In JavaScript this looks like: data.filter().map().reduce() — each method hands its result to the next.
Real apps use pipelines for search, analytics, dashboards, and data processing.

🚀 Come back tomorrow! Next up: you'll learn about objects — bundles of related data. Ships have names, types, AND power. Objects let you group all that info together into one neat package!